Cancer is a disease exhibiting uncontrollable cell growth and spreading to other parts of the
organism. It is a heavy, worldwide burden for mankind with high morbidity and mortality …

AI is a broad concept, grouping initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …

Cancer significantly contributes to global mortality, with 9.3 million annual deaths. To
alleviate this burden, the utilization of artificial intelligence (AI) applications has been …

Artificial Intelligence (AI) has emerged as a transformative technology with immense
potential in the field of medicine. By leveraging machine learning and deep learning, AI can …

Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

Background Upon the discovery of ovarian cysts, obstetricians, gynecologists, and
ultrasound examiners must address the common clinical challenge of distinguishing …

Simple Summary Gynecological malignancies are among the most common cancers with
significant morbidity and mortality worldwide. Management and overall patient survival is …

Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …

Background: The integration of artificial intelligence (AI) into various fields has ushered in a
new era of multidisciplinary progress. Defined as the ability of a system to interpret external …

Background: This study aims to evaluate the diagnostic performance of Deep Learning (DL)
machine for the detection of adenomyosis on uterine ultrasonographic images and compare …